{"id":"W1779144378","doi":"10.1609/aimag.v36i3.2598","title":"Innovative Applications of Artificial Intelligence 2014","year":2015,"lang":"en","type":"article","venue":"AI Magazine","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science; Work (physics); Applications of artificial intelligence; Data science; Artificial intelligence; Engineering; Engineering management; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003901078,0.0001178186,0.0001585912,0.0001715677,0.00006455569,0.00004968088,0.001025884,0.00005489302,0.00004232729],"category_scores_gemma":[0.0001048173,0.0001170972,0.00003449867,0.001982473,0.0001795187,0.0003859506,0.0002594666,0.0001350672,0.003213145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003995199,"about_ca_system_score_gemma":0.0001950059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003706519,"about_ca_topic_score_gemma":0.00003025723,"domain_scores_codex":[0.9986505,0.00003409131,0.0004828028,0.0003382207,0.0002845097,0.000209875],"domain_scores_gemma":[0.9977365,0.00008876369,0.0001720954,0.0008411941,0.001044448,0.0001170176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003315169,0.0001116058,0.00009234821,0.000003185239,0.000006718461,6.055895e-7,0.0004442812,0.0002221466,0.00274945,0.8282663,0.007731337,0.1603687],"study_design_scores_gemma":[0.00003518981,0.0001485591,0.0002562923,0.000009476998,0.000007824808,0.000008766979,0.0002287511,0.04504191,0.1242944,0.7542223,0.07544352,0.0003030191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004417524,0.00006758181,0.987551,0.003516063,0.00009891175,0.0003512343,0.000006216618,0.0001303326,0.007836963],"genre_scores_gemma":[0.8999439,0.000009749538,0.09855427,0.0007191745,0.0001351318,0.0002325523,0.00001223739,0.00001276557,0.0003801968],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8995022,"threshold_uncertainty_score":0.9975629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05761745417593089,"score_gpt":0.3349686593788747,"score_spread":0.2773512052029438,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}